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Research on Control Strategy of Hydraulic Regenerative Braking of Electrohydraulic Hybrid Electric Vehicles

Author

Listed:
  • Qinghai Zhao
  • Hongxin Zhang
  • Yafei Xin

Abstract

The vehicle will generate an amount of current while the electric vehicle just starting to regeneratively brake. In order to avoid the impact of high current on the traction battery, a novel electrohydraulic hybrid electric vehicle has been proposed. The main power source is supplied by the electric drive system, and the hydraulic system performs the auxiliary drive system that fully exerts the advantages of the electric drive system and the hydraulic drive system. A proper regenerative braking control strategy is presented, and the control parameters are determined by the fuzzy optimization algorithm. The simulation analysis built the model through the united simulation of AMESim and MATLAB/Simulink. The results illustrated that the optimized control strategy can reduce battery consumption by 1.22% under NEDC-operating conditions.

Suggested Citation

  • Qinghai Zhao & Hongxin Zhang & Yafei Xin, 2021. "Research on Control Strategy of Hydraulic Regenerative Braking of Electrohydraulic Hybrid Electric Vehicles," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, February.
    • Handle: RePEc:hin:jnlmpe:5391351
    DOI: 10.1155/2021/5391351
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    Citations

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    Cited by:

    1. Zongjun Yin & Xuegang Ma & Chunying Zhang & Rong Su & Qingqing Wang, 2023. "A Logic Threshold Control Strategy to Improve the Regenerative Braking Energy Recovery of Electric Vehicles," Sustainability, MDPI, vol. 15(24), pages 1-33, December.
    2. Li, Lin & Zhang, Tiezhu & Sun, Binbin & Wu, Kaiwei & Sun, Zehao & Zhang, Zhen & Lin, Lianhua & Xu, Haigang, 2023. "Research on electro-hydraulic ratios for a novel mechanical-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 270(C).
    3. Wang, Bohan & Deng, Ziwei & Zhang, Baocheng, 2022. "Simulation of a novel wind–wave hybrid power generation system with hydraulic transmission," Energy, Elsevier, vol. 238(PB).
    4. Trieu Minh Vu & Reza Moezzi & Jindrich Cyrus & Jaroslav Hlava & Michal Petru, 2021. "Automatic Clutch Engagement Control for Parallel Hybrid Electric Vehicle," Energies, MDPI, vol. 14(21), pages 1-15, November.
    5. Shanxiao Du & Jichao Hong & Hongxin Zhang & Qinghai Zhao & Tiezhu Zhang & Xiaoming Xu & Xiaotian Jiang, 2021. "Research on Cavitation of the Rotating-Sleeve Distributing Flow System Considering Different Cam Groove Profiles," Energies, MDPI, vol. 14(8), pages 1-17, April.
    6. Yang, Jian & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin & Zhao, Qinghai & Meng, Zewen, 2021. "Research on driving control strategy and Fuzzy logic optimization of a novel mechatronics-electro-hydraulic power coupling electric vehicle," Energy, Elsevier, vol. 233(C).
    7. Cong Geng & Dawen Ning & Linfu Guo & Qicheng Xue & Shujian Mei, 2021. "Simulation Research on Regenerative Braking Control Strategy of Hybrid Electric Vehicle," Energies, MDPI, vol. 14(8), pages 1-19, April.
    8. Yang, Jian & Liu, Bo & Zhang, Tiezhu & Hong, Jichao & Zhang, Hongxin, 2023. "Multi-parameter controlled mechatronics-electro-hydraulic power coupling electric vehicle based on active energy regulation," Energy, Elsevier, vol. 263(PC).

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